Binary Classification Implementation Using Backpropagation Neural Network

A straightforward binary classification program utilizing BP neural network, featuring clear code structure with detailed comments that beginners can easily understand and modify.

MATLAB Implementation of k-means Clustering Algorithm for Binary Classification

This MATLAB code implements the k-means clustering algorithm with complete functionality including main function and sample data. The program performs binary classification (k=2 clusters) and is ready to run immediately without additional setup. The implementation includes core k-means operations such as centroid initialization, distance calculation, cluster assignment, and centroid updating through iterative optimization.